Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -80,7 +80,7 @@
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram":
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
@@ -108,31 +108,31 @@
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
-
"total": 4.
|
112 |
-
"mean": 4.
|
113 |
"stdev": 0.0,
|
114 |
-
"p50": 4.
|
115 |
-
"p90": 4.
|
116 |
-
"p95": 4.
|
117 |
-
"p99": 4.
|
118 |
"values": [
|
119 |
-
4.
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
-
"cpu": 4.
|
126 |
-
"ram": 2.
|
127 |
"gpu": 0,
|
128 |
-
"total": 5.
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram":
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
@@ -140,61 +140,60 @@
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
-
"count":
|
144 |
-
"total": 1.
|
145 |
-
"mean": 0.
|
146 |
-
"stdev": 0.
|
147 |
-
"p50": 0.
|
148 |
-
"p90": 0.
|
149 |
-
"p95": 0.
|
150 |
-
"p99": 0.
|
151 |
"values": [
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.
|
179 |
-
0.
|
180 |
-
0.
|
181 |
-
0.036482319000015195
|
182 |
]
|
183 |
},
|
184 |
"throughput": {
|
185 |
"unit": "samples/s",
|
186 |
-
"value":
|
187 |
},
|
188 |
"energy": {
|
189 |
"unit": "kWh",
|
190 |
-
"cpu": 1.
|
191 |
-
"ram":
|
192 |
"gpu": 0.0,
|
193 |
-
"total": 1.
|
194 |
},
|
195 |
"efficiency": {
|
196 |
"unit": "samples/kWh",
|
197 |
-
"value":
|
198 |
}
|
199 |
}
|
200 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
+
"optimum_benchmark_commit": "77f747e53ce7403364c3165a786f2dab3853d12c",
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 947.818496,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.41222562300004,
|
112 |
+
"mean": 4.41222562300004,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.41222562300004,
|
115 |
+
"p90": 4.41222562300004,
|
116 |
+
"p95": 4.41222562300004,
|
117 |
+
"p99": 4.41222562300004,
|
118 |
"values": [
|
119 |
+
4.41222562300004
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.803062015109593e-05,
|
126 |
+
"ram": 2.0074470940278386e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 5.003806724512377e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 955.2896,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 29,
|
144 |
+
"total": 1.0156435880001595,
|
145 |
+
"mean": 0.035022192689660676,
|
146 |
+
"stdev": 0.0008464599642367761,
|
147 |
+
"p50": 0.035068438999985574,
|
148 |
+
"p90": 0.03598952180001334,
|
149 |
+
"p95": 0.03638507600001049,
|
150 |
+
"p99": 0.03663463207999939,
|
151 |
"values": [
|
152 |
+
0.03571011899998666,
|
153 |
+
0.03503222200004075,
|
154 |
+
0.034302258000025176,
|
155 |
+
0.033516560000009576,
|
156 |
+
0.03458183000003601,
|
157 |
+
0.0354906080000319,
|
158 |
+
0.035519763000024795,
|
159 |
+
0.03514314900002091,
|
160 |
+
0.035068438999985574,
|
161 |
+
0.033795140999984596,
|
162 |
+
0.03327357699998856,
|
163 |
+
0.03464620099998683,
|
164 |
+
0.03560393999998723,
|
165 |
+
0.0351205769999865,
|
166 |
+
0.034960468000008404,
|
167 |
+
0.034865760999991835,
|
168 |
+
0.034092717000021366,
|
169 |
+
0.033719289000032404,
|
170 |
+
0.03663967599999296,
|
171 |
+
0.034930271999996876,
|
172 |
+
0.03597935300001609,
|
173 |
+
0.03543483400000014,
|
174 |
+
0.03535815099996853,
|
175 |
+
0.034684873000003336,
|
176 |
+
0.034135746999993444,
|
177 |
+
0.035719035999989046,
|
178 |
+
0.03603019700000232,
|
179 |
+
0.03662166200001593,
|
180 |
+
0.03566716800003178
|
|
|
181 |
]
|
182 |
},
|
183 |
"throughput": {
|
184 |
"unit": "samples/s",
|
185 |
+
"value": 28.553323570035126
|
186 |
},
|
187 |
"energy": {
|
188 |
"unit": "kWh",
|
189 |
+
"cpu": 1.193446543080237e-06,
|
190 |
+
"ram": 4.987610687418385e-08,
|
191 |
"gpu": 0.0,
|
192 |
+
"total": 1.2433226499544208e-06
|
193 |
},
|
194 |
"efficiency": {
|
195 |
"unit": "samples/kWh",
|
196 |
+
"value": 804296.4551773099
|
197 |
}
|
198 |
}
|
199 |
}
|